A model-based approach to hyperspectral change detection

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7695, Issue , 2010, Pages

  Meola, Joseph ^a   Eismann, Michael T ^a   Moses, Randolph L ^b   Ash, Joshua N ^b  

^a AIR FORCE RESEARCH LABORATORY   (United States)

^b OHIO STATE UNIVERSITY   (United States)

Author keywords

Change detection; Hyperspectral; Optimization; Subspace models

Indexed keywords

CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; CONSTRAINED OPTIMIZATION METHODS; DATA SETS; ENVIRONMENTAL CONDITIONS; HYPERSPECTRAL; HYPERSPECTRAL DATA; HYPOTHESIS TESTS; MODEL BASED APPROACH; OPTIMAL PARAMETER; PHYSICAL MODEL; PROBABILISTIC MODELS; REFLECTANCE CHANGES; RESIDUAL ERROR; SPATIAL INFORMATIONS; SUBSPACE MODELS; TWO STAGE; UNKNOWN PARAMETERS;

ALGORITHMS; CONSTRAINED OPTIMIZATION; EQUIVALENT CIRCUITS; PIXELS; REFLECTION; SIGNAL DETECTION;

PARAMETER ESTIMATION;

EID: 77953803624     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.849559     Document Type: Conference Paper

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